Triple
T20210759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravenclaw’s diadem |
E493479
|
entity |
| Predicate | effectOnWearer |
P106972
|
FINISHED |
| Object | whispers and malign influence after becoming a Horcrux |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: whispers and malign influence after becoming a Horcrux | Statement: [Ravenclaw’s diadem, effectOnWearer, whispers and malign influence after becoming a Horcrux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnWearer Context triple: [Ravenclaw’s diadem, effectOnWearer, whispers and malign influence after becoming a Horcrux]
-
A.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
B.
providesEffect
chosen
Indicates that one entity causes, delivers, or produces a particular effect or outcome on another entity.
-
C.
tierEffect
Indicates how belonging to a particular tier influences or modifies the outcome, behavior, or properties associated with that tier.
-
D.
hasEffectIn
Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
-
E.
notableEffect
Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed5691c8190bf253b1d4ee6e88f |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.